Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
The admixed population structure in Danish Jersey dairy cattle challenges accurate genomic predictions. / Thomasen, Jørn Rind; Sørensen, Anders Christian; Su, Guosheng; Madsen, Per; Lund, Mogens Sandø; Guldbrandtsen, Bernt.
I: Journal of Animal Science, Bind 91, Nr. 7, 07.2013, s. 3105-3112 .Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
}
TY - JOUR
T1 - The admixed population structure in Danish Jersey dairy cattle challenges accurate genomic predictions
AU - Thomasen, Jørn Rind
AU - Sørensen, Anders Christian
AU - Su, Guosheng
AU - Madsen, Per
AU - Lund, Mogens Sandø
AU - Guldbrandtsen, Bernt
PY - 2013/7
Y1 - 2013/7
N2 - The main purpose of this study is to evaluate whether the population structure in Danish Jersey known from the history of the breed also is reflected in the markers. This is done by comparing the linkage disequilibrium and persistence of phase for subgroups of Jersey animals with high proportions of Danish or US origin. Furthermore, it is investigated whether a model explicitly incorporating breed origin of animals, inferred either through the known pedigree or from SNP marker data, leads to improved genomic predictions compared to a model ignoring breed origin. The study of the population structure incorporated 1,730 genotyped Jersey animals. In total 39,542 SNP markers were included in the analysis. The 1,079 genotyped bulls with de-regressed proof for udder health were used in the analysis for the predictions of the genomic breeding values. A range of random regressions models that included the breed origin were analyzed and compared to a basic genomic model that assumes a homogeneous breed structure. The main finding in this study is that the importation of germ plasma from the US Jersey population is readily reflected in the genomes of modern Danish Jersey animals. Firstly, linkage disequilibrium in the group of admixed DJ animals is lower compared to the groups of the original DNK and USJ animals. Secondly, persistence of linkage disequilibrium phase is not conserved for longer marker distances between animals with mainly Danish or US origin. The overall conclusion from comparing different genomic prediction models showed that including population structure in a random regression prediction model, did not clearly improve the reliabilities of the genomic predictions compared to a basic genomic model
AB - The main purpose of this study is to evaluate whether the population structure in Danish Jersey known from the history of the breed also is reflected in the markers. This is done by comparing the linkage disequilibrium and persistence of phase for subgroups of Jersey animals with high proportions of Danish or US origin. Furthermore, it is investigated whether a model explicitly incorporating breed origin of animals, inferred either through the known pedigree or from SNP marker data, leads to improved genomic predictions compared to a model ignoring breed origin. The study of the population structure incorporated 1,730 genotyped Jersey animals. In total 39,542 SNP markers were included in the analysis. The 1,079 genotyped bulls with de-regressed proof for udder health were used in the analysis for the predictions of the genomic breeding values. A range of random regressions models that included the breed origin were analyzed and compared to a basic genomic model that assumes a homogeneous breed structure. The main finding in this study is that the importation of germ plasma from the US Jersey population is readily reflected in the genomes of modern Danish Jersey animals. Firstly, linkage disequilibrium in the group of admixed DJ animals is lower compared to the groups of the original DNK and USJ animals. Secondly, persistence of linkage disequilibrium phase is not conserved for longer marker distances between animals with mainly Danish or US origin. The overall conclusion from comparing different genomic prediction models showed that including population structure in a random regression prediction model, did not clearly improve the reliabilities of the genomic predictions compared to a basic genomic model
KW - cattle
KW - genomic prediction
KW - population structure
U2 - 10.2527/jas.2012-5490
DO - 10.2527/jas.2012-5490
M3 - Journal article
C2 - 23658363
VL - 91
SP - 3105
EP - 3112
JO - Journal of Animal Science
JF - Journal of Animal Science
SN - 0021-8812
IS - 7
ER -